Patents by Inventor Poorna Kumar

Poorna Kumar has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Ground plane estimation in a computer vision system
    Patent number: 11763568
    Abstract: Estimation of the ground plane of a three dimensional (3D) point cloud based modifications to the random sample consensus (RANSAC) algorithm is provided. The modifications may include applying roll and pitch constraints to the selection of random planes in the 3D point cloud, using a cost function based on the number of inliers in the random plane and the number of 3D points below the random plane in the 3D point cloud, and computing a distance threshold for the 3D point cloud that is used in determining whether or not a 3D point in the 3D point cloud is an inlier of a random plane.
    Type: Grant
    Filed: December 8, 2020
    Date of Patent: September 19, 2023
    Assignee: Texas Instruments Incorporated
    Inventors: Soyeb Nagori, Poorna Kumar, Manu Mathew, Prashanth Ramanathpur Viswanath, Deepak Kumar Poddar
  • GROUND PLANE ESTIMATION IN A COMPUTER VISION SYSTEM
    Publication number: 20210088331
    Abstract: Estimation of the ground plane of a three dimensional (3D) point cloud based modifications to the random sample consensus (RANSAC) algorithm is provided. The modifications may include applying roll and pitch constraints to the selection of random planes in the 3D point cloud, using a cost function based on the number of inliers in the random plane and the number of 3D points below the random plane in the 3D point cloud, and computing a distance threshold for the 3D point cloud that is used in determining whether or not a 3D point in the 3D point cloud is an inlier of a random plane.
    Type: Application
    Filed: December 8, 2020
    Publication date: March 25, 2021
    Inventors: Soyeb Nagori, Poorna Kumar, Manu Mathew, Prashanth Ramanathpur Viswanath, Deepak Kumar Poddar
  • Ground plane estimation in a computer vision system
    Patent number: 10890445
    Abstract: Estimation of the ground plane of a three dimensional (3D) point cloud based modifications to the random sample consensus (RANSAC) algorithm is provided. The modifications may include applying roll and pitch constraints to the selection of random planes in the 3D point cloud, using a cost function based on the number of inliers in the random plane and the number of 3D points below the random plane in the 3D point cloud, and computing a distance threshold for the 3D point cloud that is used in determining whether or not a 3D point in the 3D point cloud is an inlier of a random plane.
    Type: Grant
    Filed: November 9, 2018
    Date of Patent: January 12, 2021
    Assignee: TEXAS INSTRUMENTS INCORPORATED
    Inventors: Soyeb Nagori, Poorna Kumar, Manu Mathew, Prashanth Ramanathpur Viswanath, Deepak Kumar Poddar
  • GROUND PLANE ESTIMATION IN A COMPUTER VISION SYSTEM
    Publication number: 20190078880
    Abstract: Estimation of the ground plane of a three dimensional (3D) point cloud based modifications to the random sample consensus (RANSAC) algorithm is provided. The modifications may include applying roll and pitch constraints to the selection of random planes in the 3D point cloud, using a cost function based on the number of inliers in the random plane and the number of 3D points below the random plane in the 3D point cloud, and computing a distance threshold for the 3D point cloud that is used in determining whether or not a 3D point in the 3D point cloud is an inlier of a random plane.
    Type: Application
    Filed: November 9, 2018
    Publication date: March 14, 2019
    Inventors: Soyeb Nagori, Poorna Kumar, Manu Mathew, Prashanth Ramanathpur Viswanath, Deepak Kumar Poddar
  • Ground plane estimation in a computer vision system
    Patent number: 10156441
    Abstract: Estimation of the ground plane of a three dimensional (3D) point cloud based modifications to the random sample consensus (RANSAC) algorithm is provided. The modifications may include applying roll and pitch constraints to the selection of random planes in the 3D point cloud, using a cost function based on the number of inliers in the random plane and the number of 3D points below the random plane in the 3D point cloud, and computing a distance threshold for the 3D point cloud that is used in determining whether or not a 3D point in the 3D point cloud is an inlier of a random plane.
    Type: Grant
    Filed: September 2, 2016
    Date of Patent: December 18, 2018
    Assignee: TEXAS INSTRUMENTS INCORPORATED
    Inventors: Soyeb Nagori, Poorna Kumar, Manu Mathew, Prashanth Ramanathpur Viswanath, Deepak Kumar Poddar
  • Ground Plane Estimation in a Computer Vision System
    Publication number: 20170191826
    Abstract: Estimation of the ground plane of a three dimensional (3D) point cloud based modifications to the random sample consensus (RANSAC) algorithm is provided. The modifications may include applying roll and pitch constraints to the selection of random planes in the 3D point cloud, using a cost function based on the number of inliers in the random plane and the number of 3D points below the random plane in the 3D point cloud, and computing a distance threshold for the 3D point cloud that is used in determining whether or not a 3D point in the 3D point cloud is an inlier of a random plane.
    Type: Application
    Filed: September 2, 2016
    Publication date: July 6, 2017
    Inventors: Soyeb Nagori, Poorna Kumar, Manu Mathew, Prashanth Ramanathpur Viswanath, Deepak Kumar Poddar